Pure Component Property Calculator — Density, Cp, Viscosity & More
Enter a chemical name or ID, choose temperature and pressure, and instantly calculate thermophysical properties using a Python thermo library.
Input Conditions
Enter a pure component, temperature, and pressure.
Results
Calculated properties for the given state will appear here.
Pure Component Thermophysical Property Calculator
Process engineers, students, and researchers often require quick access to accurate thermophysical properties of chemicals at specific operating conditions. Manually searching data in handbooks or literature is time-consuming and often inconsistent. To solve this problem, Chem-casts.com provides a Pure Component Property Calculator powered by a reliable Python thermo library, delivering fast, accurate, reproducible property data at any temperature (K) and pressure (Pa).
This online tool allows you to calculate key properties such as:
- Density
- Specific Heat Capacity (Cp)
- Thermal Conductivity
- Dynamic Viscosity
- Phase / State Information
- Additional thermodynamic or transport properties (depending on the chemical)
All calculations are performed from well-established correlations and models used in professional chemical process simulation environments.
⭐ How the Calculator Works
Using the property calculator is simple and intuitive. You only need three main inputs:
1. Chemical Name or ID
You can enter:
- Common chemical name — Water, Methane, Benzene
- Chemical formula — H₂O, CH₄, C₆H₆
- CAS number — 7732-18-5 for water
The tool automatically identifies the component using the Python thermo package’s extensive chemical database.
2. Temperature (in Kelvin)
Enter the temperature at which you want the property evaluated. Examples:
- 298 K
- 350 K
- 500 K
Temperature directly influences properties such as Cp, density, viscosity, and thermal conductivity.
3. Pressure (in Pa)
Enter the pressure in Pascals. Examples:
- 101325 Pa (1 atm)
- 500000 Pa
- 2,000,000 Pa
Pressure particularly affects gas properties and phase determination.
4. Select Property from Dropdown
The calculator supports several thermophysical properties:
- Density (kg/m³)
- Specific Heat (J/kg·K)
- Viscosity (Pa·s)
- Thermal Conductivity (W/m·K)
- Enthalpy or Entropy (if enabled)
- Phase State (liquid, vapor, mixed)
The backend computes your selected property instantly.
⭐ Example Calculations
Example 1: Water at 298 K and 101325 Pa
Input:
- Chemical Name: Water
- ID: H₂O
- Temperature: 298 K
- Pressure: 101325 Pa
- Property: Density
Output (Typical):
Density ≈ 997 kg/m³
Example 2: Methane at 350 K and 2,000,000 Pa
Input:
- Chemical Name: Methane
- ID: CH₄
- Temperature: 350 K
- Pressure: 2×10⁶ Pa
- Property: Viscosity
Output (Typical):
Viscosity ≈ 1.3 × 10⁻⁵ Pa·s
Example 3: Benzene Thermal Conductivity at 400 K
Input:
- Chemical Name: Benzene
- Temperature: 400 K
- Pressure: 101325 Pa
- Property: Thermal Conductivity
Output (Typical):
Thermal Conductivity ≈ 0.12 W/m·K
⭐ Why Use Chem-casts.com Property Calculator?
1. Fast and Accurate
The tool uses the thermo Python library implementing DIPPR correlations, real-gas EOS, and advanced transport models.
2. No Simulation Software Required
Avoid opening Aspen Plus, HYSYS, or DWSIM for simple property checks.
3. Wide Chemical Coverage
Search by name, formula, or CAS.
4. Useful for All Process Calculations
Heat balances, equipment sizing, reactor calculations, and CFD modeling.
⭐ Behind the Scenes: Python Thermo Library
The backend uses the thermo library, enabling:
- Pure component property estimation
- Real-gas EOS (PR, SRK, etc.)
- Phase determination
- Temperature-dependent transport correlations
This ensures consistent, validated results.
⭐ Future Enhancements
Planned upgrades include:
- Mixture property calculations
- VLE flash tools
- Cp/viscosity vs temperature plots
- API for developers
⭐ Conclusion
The Pure Component Property Calculator on Chem-casts.com is a powerful tool for obtaining thermophysical properties at any specified temperature and pressure. Whether you're an engineer, student, or researcher, this tool saves time and improves calculation accuracy.
Just enter the chemical name or ID, set temperature and pressure, select the property, and get instant results using robust Python-based thermodynamic correlations.